diff --git a/litellm/utils.py b/litellm/utils.py
index d033f6545..b900a1424 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -1253,6 +1253,8 @@ def get_optional_params(  # use the openai defaults
             optional_params["presence_penalty"] = presence_penalty
         if stop:
             optional_params["stop_sequences"] = stop
+    elif custom_llm_provider == "perplexity":
+        optional_params[""]
     elif custom_llm_provider == "replicate":
         ## check if unsupported param passed in 
         supported_params = ["stream", "temperature", "max_tokens", "top_p", "stop", "seed"]
@@ -1554,7 +1556,13 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
         if model.split("/",1)[0] in litellm.provider_list:
             custom_llm_provider = model.split("/", 1)[0]
             model = model.split("/", 1)[1]
-            return model, custom_llm_provider, dynamic_api_key
+            if custom_llm_provider == "perplexity":
+                # perplexity is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.perplexity.ai
+                api_base = "https://api.perplexity.ai"
+                dynamic_api_key = os.getenv("PERPLEXITYAI_API_KEY")
+                custom_llm_provider = "custom_openai"
+
+            return model, custom_llm_provider, dynamic_api_key, api_base
 
         # check if api base is a known openai compatible endpoint
         if api_base: 
@@ -1563,7 +1571,7 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
                     custom_llm_provider = "custom_openai"
                     if endpoint == "api.perplexity.ai": 
                         dynamic_api_key = os.getenv("PERPLEXITYAI_API_KEY")
-                    return model, custom_llm_provider, dynamic_api_key
+                    return model, custom_llm_provider, dynamic_api_key, api_base
 
         # check if model in known model provider list  -> for huggingface models, raise exception as they don't have a fixed provider (can be togetherai, anyscale, baseten, runpod, et.)
         ## openai - chatcompletion + text completion
@@ -1620,7 +1628,7 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
             print("\033[1;31mProvider List: https://docs.litellm.ai/docs/providers\033[0m")
             print()
             raise ValueError(f"LLM Provider NOT provided. Pass in the LLM provider you are trying to call. E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/{model}',..)` Learn more: https://docs.litellm.ai/docs/providers")
-        return model, custom_llm_provider, dynamic_api_key
+        return model, custom_llm_provider, dynamic_api_key, api_base
     except Exception as e: 
         raise e